Interrelation of quality parameters of surface waters in five tidewater glacier coves of King George Island, Antarctica

Osińska, Maria; Bialik, Robert J.; Wójcik-Długoborska, Kornelia Anna

doi:10.1016/j.scitotenv.2020.144780

Cited by 14 publications

(9 citation statements)

References 40 publications

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“…Figure 5 illustrates how different properties vary in surface layers in contrast with the whole column of water (limited to 100 m of depth). This shows the impact of both atmospheric forcing and glacial outflow, which, based on buoyant plume model theory (Kimura et al, 2014;Mankoff et al, 2016;Jenkins, 2011) and observations (Chauché et al, 2014;Osińska et al, 2021), is mainly contained in the top layer of the ocean. Therefore, the results provide information on seasonal changes in water properties and glacial-ocean interactions and can be used for validation of previously formulated methods of GMW tracking.…”

Section: Resultsmentioning

confidence: 77%

Annual hydrographic variability in Antarctic coastal waters infused with glacial inflow

Osińska¹,

Wójcik-Długoborska²,

Bialik³

2022

Preprint

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Abstract. During the thirty-eight months between December 2018 and January 2022, multiparameter hydrographic measurements were taken at thirty-one sites within Admiralty Bay, King George Island, Antarctica. These records consisted of water column measurements (down to 100 m) of temperature, conductivity, turbidity, and pH as well as the dissolved oxygen, dissolved organic matter, chlorophyll A and phycoerythrin contents. The sites were chosen due to their variable distances from glacial fronts and open ocean waters. Fifteen sites were localized within smaller glacial coves, with waters highly impacted by glacial infusions; seven sites were located in the open waters of the main body of Admiralty Bay; and nine were located in intermediate conditions of the Ezcurra Inlet. The final dataset consists of measurements carried out over 142 separate days, with an average 3.74 measurements per month. However, data were not collected regularly throughout the year and were collected less frequently during winter, though data were gathered for all but two winter months. On average, each site was investigated 98.2 times. Due to calibration issues, absolute values of optically measured properties occasionally show impossible negative values, but the relative distributions of these values remain valid. Variabilities in the measured properties each season and throughout the whole duration of the project reveal regular oscillations as well as possible long-term trends.

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Section: Resultsmentioning

confidence: 77%

Annual hydrographic variability in Antarctic coastal waters infused with glacial inflow

Osińska¹,

Wójcik-Długoborska²,

Bialik³

2022

Preprint

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“…This tidewater glacier's active front elevation reaches 33 m, and the active front width is 445 m. The Cove area is 0.19 km 2 , and the cove coast length is 1662 m [12]. The mean depth of the cove is 17.31 m, and the maximum depth reaches 41 m [13]. Zalewski Glacier is located directly over the Ezcurra Fault, dividing the rocks that build the glacier catchment area into two geologically different groups as illustrated in Fig.…”

Section: A Research Areamentioning

confidence: 94%

“…During sampling, the turbidity (in formazine nephelometric units (FNU)) of the surface water layer was measured (in the further analysis called TF) using the optical sensor of the YSI EXO2 sonde (YSI, Inc., Yellow Springs, USA). For details see [13].…”

Section: In Situ Measurementsmentioning

confidence: 99%

“…3(c), the strongest correlation of SSC occurs only between points near the left bank (Z2-Z3, Z2-Z10, Z3-Z4). A correlation of 0.8-0.9 is most often also found near the left shore (Z1-Z2, Z1-Z9, Z1-Z10, Z2-Z9, Z3-Z10, Z3-Z9, Z4-Z5, Z4-Z9, Z4-Z10), descending toward the center of the cove (Z1-Z12, Z2-Z13, Z4-Z13, Z9-Z10, Z9-Z12, Z9-Z13, Z10-Z12, Z10-Z13, Z11-Z12, Z12-Z13) and the right shore far from the glacier (11)(12)(13)(14)(15)(16)(17)(18)(19)(12)(13)(14)(15)(16)(17)(18)(19). Correlations also occur between points located close to the glacier (Z5-Z6, Z6-Z7, Z14-Z15, Z15-Z16).…”

Section: A Sources Of Sedimentmentioning

confidence: 99%

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The Impact of Glacial Suspension Color on the Relationship Between Its Properties and Marine Water Spectral Reflectance

Wojcik-Dugoborska

Osińska

Bialik

2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study enabled us to determine the sources of sediment for glacial catchments and investigate the differences in properties, i.e., suspended sediment concentration (SSC), turbidity measured in the laboratory (TLAB) and in the field (TF), mean particle diameter (MPD) and chemical composition, between two different-colored sediments that flowed from the glacier terminus. Additionally, the relationship between these properties for two types of suspensions and remote sensing reflectance (RRS) was tested, and the factor with the greatest impact on the value of RRS was determined. The results showed that within one catchment area, there were 4 sediment sources that provide white (S.1) and red (S.2) sediment. Chemical analysis showed that the differences in sediment color may be influenced by the increased content of carbonates in the white sediment (S.1). The S.2 sediment is characterized by mean TLAB, TF, and SSC values higher than 26.6 formazine nephelometric units (FNU), 13.5 FNU, and 50 mg/L, respectively, and the mean MPD was 4.25 lower than that of the S.1 sediment. However, the red sediment had on average 0.1 lower RRS than the white sediment. In addition, the properties of S.1 correlated better with reflectance, reaching a maximum correlation of 0.69 (SSC/RRS 770-810 nm), while S.2 exhibited a negative correlation in 7 out of 12 cases, reaching a maximum correlation of 0.16 (TLAB/SSC/RRS 730-740 nm) and a negative correlation of -0.37 (SSC/RRS 530-570 nm). This result indicated that sediment color may be a key factor in the dependence of glacial suspension properties and spectral reflectance.

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“…These authors have integrated ground measurements (TLS and photos) with UAV surveys to build a finer 3D cloud of points to better represent the glaciers and detect more accurately their volumetric changes in recent consecutive years. The surface measurements of water quality parameters near coves adjacent to glaciers, as to understand glacial meltwater impacts on marine environments, were developed by Osi ńska et al (2021) [94] after the different colours of meltwater plumes provided by UAV surveys in King George Island. The quality of DEM products of glacier surfaces built after UAV surveys is evaluated by Alvarez et al (2021) [95] by comparison with ground data in Livingston Island, South Shetlands.…”

Section: Main Topic Specific Topic Referencesmentioning

confidence: 99%

UAVs for Science in Antarctica

Pina

Vieira

2022

Remote Sensing

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Remote sensing is a very powerful tool that has been used to identify, map and monitor Antarctic features and processes for nearly one century. Satellite remote sensing plays the main role for about the last five decades, as it is the only way to provide multitemporal views at continental scale. But the emergence of small consumer-grade unoccupied aerial vehicles (UAVs) over the past two decades has paved the way for data in unprecedented detail. This has been also verified by an increasing noticeable interest in Antarctica by the incorporation of UAVs in the field activities in diversified research topics. This paper presents a comprehensive review about the use of UAVs in scientific activities in Antarctica. It is based on the analysis of 190 scientific publications published in peer-reviewed journals and proceedings of conferences which are organised into six main application topics: Terrestrial, Ice and Snow, Fauna, Technology, Atmosphere and Others. The analysis encompasses a detailed overview of the activities, identifying advantages and difficulties, also evaluating future possibilities and challenges for expanding the use of UAV in the field activities. The relevance of using UAVs to support numerous and diverse scientific activities in Antarctica becomes very clear after analysing this set of scientific publications, as it is revolutionising the remote acquisition of new data with much higher detail, from inaccessible or difficult to access regions, in faster and cheaper ways. Many of the advances can be seen in the terrestrial areas (detailed 3D mapping; vegetation mapping, discrimination and health assessment; periglacial forms characterisation), ice and snow (more detailed topography, depth and features of ice-sheets, glaciers and sea-ice), fauna (counting penguins, seals and flying birds and detailed morphometrics) and in atmosphere studies (more detailed meteorological measurements and air-surface couplings). This review has also shown that despite the low environmental impact of UAV-based surveys, the increasing number of applications and use, may lead to impacts in the most sensitive Antarctic ecosystems. Hence, we call for an internationally coordinated effort to for planning and sharing UAV data in Antarctica, which would reduce environmental impacts, while extending research outcomes.

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Interrelation of quality parameters of surface waters in five tidewater glacier coves of King George Island, Antarctica

Cited by 14 publications

References 40 publications

Annual hydrographic variability in Antarctic coastal waters infused with glacial inflow

Annual hydrographic variability in Antarctic coastal waters infused with glacial inflow

The Impact of Glacial Suspension Color on the Relationship Between Its Properties and Marine Water Spectral Reflectance

UAVs for Science in Antarctica

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